How Companies are Leveraging Document Digitization Scanner to Scale Faster

How Companies are Leveraging Document Digitization Scanner to Scale Faster

Almost every company is involved in document-intensive activities and generates large volumes of data to scale their business and manufacture better solutions.

However, these documentation tasks can be taken care of 50% faster and 35% more cost-effectively, if only companies switch to Intelligent Document Processing tools.

Intrigued? Here’s everything you need to know about it!

Essentially, document scanning and digitization refer to scanning paper documents, converting them into electronic records, capturing valuable information, and storing the documents in a centralized location for easy retrieval. Most companies that employ document digitization scanners back their system with IDP.

IDP or intelligent document processing refers to the end-to-end automation of repetitive tasks involving copious amounts of document-specific data processing, including the extraction of unstructured data.

The larger aim of organizations behind adopting a document digitization scanner and automation is to capture the unstructured and semi-structured data and automatically classify, analyze and process it to be converted into usable data.

How Document Digitization can transform your business processes

Any organization will be committing a crime of their employee’s cognitive bandwidth if they haven’t considered an intelligent document processing system by now, given that it can seamlessly transform your business into a smooth sail.

Here is the list of all things ease-and-breeze that efficient document digitization solutions like KlearStack can offer your company:

1. Economizes document-based processes effectively and efficiently

The data assembled from various documents are the backbone of a company.

Large companies collect copious amounts of unstructured, structured, and semi-structured data, assemble and label them and then transform them into usable information.

Doing this manually not only consumes 50-70% extra time that can be deviated to other tasks but also costs about 30% more than it would if the tasks were automated with a document digitization.

2. Unparalleled data usability and insight accuracy

Data usability is using a set of information extracted from processing structured and unstructured data.

Simply processing the data to assemble and label them is not enough. It is essential to gauge ‘useful’ information that can aid a company in scaling faster.

When humans are made to work on repetitive document processing tasks, especially in uncoordinated teams, it is prone to errors, misplacements, mal-judgments, and negligence of important information.

KlearStack, on the other hand, provides incredible data usability along with 99% accuracy with its Document Digitization Scanner.

3. Centralized and automated workflow with end-to-end document digitization/ management

KlearStack is specifically designed to suit the documentation needs of the BFSI, Telecom, Healthcare, and manufacturing industries and to resolve their everyday workflow hindrances and document processing dependencies.

This document digitization scanner facilitates the following comprehensive use cases:

  • Document extraction:

Efficiently and regularly extracts structured and unstructured data from multiple sources like uploaded documents, emails, email attachments, pdfs, images, etc. The extracted data is then exported in various readable formats for enterprise automation. The tool derives data and intelligence from resourceful unstructured data with unparalleled accuracy and template-less data extraction.

  • Interpretation:

KlearStack’s self-learning AI solutions can recognize and extract information from all types of documents, including invoices, receipts, and purchase orders. In addition, the document digitalization scanner provides deep-learning-backed data interpretation solutions that review data and draw relevant conclusions from them.

  • Processing:

This Document Digitization Scanner not only extracts and interprets data but also classifies, validates, and exports the extracted and interpreted data, giving companies access to end-to-end intelligent document processing solutions.

With KlearStack AI’s Intelligent Document Processing platform, enterprises can automate manual data processing with machine learning, computer vision, predictive analytics, and natural language processing.

4. Measurable increase in ROI over time

Even though the switch from manual document processing workflows to intelligent and automated document processing tools can incur initial purchase and set-up charges, they give an evident return on the investment over time.

They allow you to cut back on manual staff, get more done in a shorter period, eradicate data maintenance and damage costs, and access valuable insights that help the company scale.

These benefits may take a minute before they are evident. However, here are a few benefits of a document digitization scanner that your company can enjoy instantly:

  • Faster searchability of documents and instant discoverability.
  • Coherent and accessible document center
  • Makes your data practically immortal by digitizing them and preventing physical damages
  • Faster operation and mitigates overhead costs for manual documentation processes like storage maintenance, printing, photocopying, stationary, etc.
  • Unparalleled security from breaches and damages

Summing up

To switch or not to switch to an automated document processing system is not even a question anymore. Intelligent business is not about solving the problems you can delegate to a cheaper, faster, more sustainable alternative. It is about finding the perfect solution that matches your exact requirements. To book a demo with the experts of KlearStack AI, click here.

Ashutosh Saitwal
Ashutosh Saitwal
www.klearstack.com/

Ashutosh is the founder and director of the award winning KlearStack AI platform. You can catch him speaking at NASSCOM events around the world where he speaks and is an evangelist for RPA, AI, Machine Learning and Intelligent Document Processing.